Server Thread Scheduling via Blocked State Duration Analysis
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Solution Overview
Problem
In servers, especially those deployed in 5G communication networks, computing resource utilization is low due to idle periods when worker threads wait for tasks, leading to inefficient resource allocation and potential network disruptions from disrupted task timing sequences.
Innovation Solution
A thread processing method that determines the duration of a worker thread's blocked state and calculates a workload index parameter to generate a resource scheduling strategy, allowing the server kernel to reallocate computing resources, thereby improving resource utilization and maintaining task timing sequences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If worker threads wait for tasks during idle periods, then task execution accuracy is maintained, but computing resource utilization deteriorates
Solution Approach 1:
The patent implements dynamic thread state management by transitioning worker threads between blocked and runnable states based on task availability. The scheduling component dynamically adjusts thread behavior: blocking threads during idle periods to conserve resources, and unblocking them when tasks arrive, thereby adapting resource allocation to actual workload conditions and resolving the contradiction between maintaining execution accuracy and improving resource utilization
Solution Approach 2:
The system changes the operational parameters of worker threads by introducing a blocked state with associated timeout mechanisms and state transition parameters. By controlling the duration and conditions of blocked states, the system optimizes resource utilization while ensuring threads become runnable in time to maintain task execution accuracy, thus resolving the contradiction through parameter optimization
2Productivity
If computing resources are reallocated dynamically, then resource utilization improves, but task timing sequence may be disrupted
Solution Approach 1:
The scheduling component implements feedback mechanisms by monitoring task queue status, thread blocked durations, and workload indices. This feedback loop enables informed scheduling decisions: the system observes when threads should be unblocked to maintain timing sequences, and adjusts resource allocation accordingly, thus improving resource utilization without disrupting task timing through continuous monitoring and adaptive control
Solution Approach 2:
The system performs preliminary actions by pre-blocking threads before they are needed and pre-unblocking them before tasks arrive. The scheduling component anticipates task arrival patterns and proactively manages thread states, ensuring threads are ready to execute tasks at the correct timing while maintaining high resource utilization through advance preparation rather than reactive adjustments
3Productivity
If worker threads remain blocked during idle periods, then resource allocation efficiency improves, but response time to new tasks deteriorates
Solution Approach 1:
The patent implements periodic monitoring and state transition mechanisms where the scheduling component regularly checks task queue status and thread blocked durations. Threads transition between blocked and runnable states periodically based on workload conditions, ensuring they remain blocked during idle periods for efficient resource allocation while being unblocked promptly when tasks arrive, thus maintaining fast response times through rhythmic state adjustments
Data Source
AI summary
Thread processing methods, a scheduling component, a monitoring component, a server, and a storage medium are provided. The method includes: determining, by a scheduling component in the server, a duration for which a worker thread is in a blocked state, determining a workload index parameter of the worker thread according to the duration, and further generating a resource scheduling strategy according to the workload index parameter. The kernel of the server may reallocate the computing resource of the server by using the resource scheduling strategy.